Create a view

Create a view within a dataset.

Explore further

For detailed documentation that includes this code sample, see the following:

Create logical views

Code sample

Go

Before trying this sample, follow the Go setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Go API reference documentation .

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "cloud.google.com/go/bigquery" 
 ) 
 // createView demonstrates creation of a BigQuery logical view. 
 func 
  
 createView 
 ( 
 projectID 
 , 
  
 datasetID 
 , 
  
 tableID 
  
 string 
 ) 
  
 error 
  
 { 
  
 // projectID := "my-project-id" 
  
 // datasetID := "mydatasetid" 
  
 // tableID := "mytableid" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 bigquery 
 . 
 NewClient 
 ( 
 ctx 
 , 
  
 projectID 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "bigquery.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 meta 
  
 := 
  
& bigquery 
 . 
  TableMetadata 
 
 { 
  
 // This example shows how to create a view of the shakespeare sample dataset, which 
  
 // provides word frequency information.  This view restricts the results to only contain 
  
 // results for works that contain the "king" in the title, e.g. King Lear, King Henry V, etc. 
  
 ViewQuery 
 : 
  
 "SELECT word, word_count, corpus, corpus_date FROM `bigquery-public-data.samples.shakespeare` WHERE corpus LIKE '%king%'" 
 , 
  
 } 
  
 if 
  
 err 
  
 := 
  
 client 
 . 
 Dataset 
 ( 
 datasetID 
 ). 
 Table 
 ( 
 tableID 
 ). 
 Create 
 ( 
 ctx 
 , 
  
 meta 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 err 
  
 } 
  
 return 
  
 nil 
 }

Java

Before trying this sample, follow the Java setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Java API reference documentation .

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  import 
  
 com.google.cloud.bigquery. BigQuery 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryException 
 
 ; 
 import 
  
 com.google.cloud.bigquery. BigQueryOptions 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableId 
 
 ; 
 import 
  
 com.google.cloud.bigquery. TableInfo 
 
 ; 
 import 
  
 com.google.cloud.bigquery. ViewDefinition 
 
 ; 
 // Sample to create a view 
 public 
  
 class 
 CreateView 
  
 { 
  
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 [] 
  
 args 
 ) 
  
 { 
  
 // TODO(developer): Replace these variables before running the sample. 
  
 String 
  
 datasetName 
  
 = 
  
 "MY_DATASET_NAME" 
 ; 
  
 String 
  
 tableName 
  
 = 
  
 "MY_TABLE_NAME" 
 ; 
  
 String 
  
 viewName 
  
 = 
  
 "MY_VIEW_NAME" 
 ; 
  
 String 
  
 query 
  
 = 
  
 String 
 . 
 format 
 ( 
  
 "SELECT TimestampField, StringField, BooleanField FROM %s.%s" 
 , 
  
 datasetName 
 , 
  
 tableName 
 ); 
  
 createView 
 ( 
 datasetName 
 , 
  
 viewName 
 , 
  
 query 
 ); 
  
 } 
  
 public 
  
 static 
  
 void 
  
 createView 
 ( 
 String 
  
 datasetName 
 , 
  
 String 
  
 viewName 
 , 
  
 String 
  
 query 
 ) 
  
 { 
  
 try 
  
 { 
  
 // Initialize client that will be used to send requests. This client only needs to be created 
  
 // once, and can be reused for multiple requests. 
  
  BigQuery 
 
  
 bigquery 
  
 = 
  
  BigQueryOptions 
 
 . 
 getDefaultInstance 
 (). 
 getService 
 (); 
  
  TableId 
 
  
 tableId 
  
 = 
  
  TableId 
 
 . 
 of 
 ( 
 datasetName 
 , 
  
 viewName 
 ); 
  
  ViewDefinition 
 
  
 viewDefinition 
  
 = 
  
  ViewDefinition 
 
 . 
 newBuilder 
 ( 
 query 
 ). 
 setUseLegacySql 
 ( 
 false 
 ). 
 build 
 (); 
  
 bigquery 
 . 
  create 
 
 ( 
 TableInfo 
 . 
 of 
 ( 
 tableId 
 , 
  
 viewDefinition 
 )); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "View created successfully" 
 ); 
  
 } 
  
 catch 
  
 ( 
  BigQueryException 
 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "View was not created. \n" 
  
 + 
  
 e 
 . 
 toString 
 ()); 
  
 } 
  
 } 
 }

Node.js

Before trying this sample, follow the Node.js setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Node.js API reference documentation .

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  // Import the Google Cloud client library and create a client 
 const 
  
 { 
 BigQuery 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/bigquery 
' 
 ); 
 const 
  
 bigquery 
  
 = 
  
 new 
  
  BigQuery 
 
 (); 
 async 
  
 function 
  
 createView 
 () 
  
 { 
  
 // Creates a new view named "my_shared_view" in "my_dataset". 
  
 /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
  
 // const myDatasetId = "my_dataset" 
  
 // const myTableId = "my_shared_view" 
  
 // const projectId = "bigquery-public-data"; 
  
 // const sourceDatasetId = "usa_names" 
  
 // const sourceTableId = "usa_1910_current"; 
  
 const 
  
 myDataset 
  
 = 
  
 await 
  
 bigquery 
 . 
 dataset 
 ( 
 myDatasetId 
 ); 
  
 // For all options, see https://cloud.google.com/bigquery/docs/reference/v2/tables#resource 
  
 const 
  
 options 
  
 = 
  
 { 
  
 view 
 : 
  
 `SELECT name 
 FROM \` 
 ${ 
 projectId 
 } 
 . 
 ${ 
 sourceDatasetId 
 } 
 . 
 ${ 
 sourceTableId 
 } 
 \` 
 LIMIT 10` 
 , 
  
 }; 
  
 // Create a new view in the dataset 
  
 const 
  
 [ 
 view 
 ] 
  
 = 
  
 await 
  
 myDataset 
 . 
  createTable 
 
 ( 
 myTableId 
 , 
  
 options 
 ); 
  
 console 
 . 
 log 
 ( 
 `View 
 ${ 
 view 
 . 
 id 
 } 
 created.` 
 ); 
 }

Python

Before trying this sample, follow the Python setup instructions in the BigQuery quickstart using client libraries . For more information, see the BigQuery Python API reference documentation .

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  from 
  
 google.cloud 
  
 import 
  bigquery 
 
 client 
 = 
  bigquery 
 
 . 
  Client 
 
 () 
 view_id 
 = 
 "my-project.my_dataset.my_view" 
 source_id 
 = 
 "my-project.my_dataset.my_table" 
 view 
 = 
  bigquery 
 
 . 
  Table 
 
 ( 
 view_id 
 ) 
 # The source table in this example is created from a CSV file in Google 
 # Cloud Storage located at 
 # `gs://cloud-samples-data/bigquery/us-states/us-states.csv`. It contains 
 # 50 US states, while the view returns only those states with names 
 # starting with the letter 'W'. 
  view 
 
 . 
  view_query 
 
 = 
 f 
 "SELECT name, post_abbr FROM ` 
 { 
 source_id 
 } 
 ` WHERE name LIKE 'W%'" 
 # Make an API request to create the view. 
 view 
 = 
 client 
 . 
  create_table 
 
 ( 
 view 
 ) 
 print 
 ( 
 f 
 "Created 
 { 
  view 
 
 . 
 table_type 
 } 
 : 
 { 
 str 
 ( 
  view 
 
 . 
 reference 
 ) 
 } 
 " 
 )

Terraform

To learn how to apply or remove a Terraform configuration, see Basic Terraform commands . For more information, see the Terraform provider reference documentation .

  resource 
  
 "google_bigquery_dataset" 
  
 "default" 
  
 { 
  
 dataset_id 
  
 = 
  
 "mydataset" 
  
 default_partition_expiration_ms 
  
 = 
  
 2592000000 
 # 30 days 
  
 default_table_expiration_ms 
  
 = 
  
 31536000000 
 # 365 days 
  
 description 
  
 = 
  
 "dataset description" 
  
 location 
  
 = 
  
 "US" 
  
 max_time_travel_hours 
  
 = 
  
 96 
 # 4 days 
  
 labels 
  
 = 
  
 { 
  
 billing_group 
  
 = 
  
 "accounting" 
 , 
  
 pii 
  
 = 
  
 "sensitive" 
  
 } 
 } 
 resource 
  
 "google_bigquery_table" 
  
 "default" 
  
 { 
  
 dataset_id 
  
 = 
  
 google_bigquery_dataset.default.dataset_id 
  
 table_id 
  
 = 
  
 "myview" 
  
 deletion_protection 
  
 = 
  
 false 
 # set to "true" in production 
  
 view 
  
 { 
  
 query 
  
 = 
  
 "SELECT global_id, faa_identifier, name, latitude, longitude FROM `bigquery-public-data.faa.us_airports`" 
  
 use_legacy_sql 
  
 = 
  
 false 
  
 } 
 }

What's next

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Explore further

Code sample

Go

Java

Node.js

Python

Terraform

What's next

Create a view